Ref: BB/21682/A/KS/271124_1732707860
Machine Learning Engineer (Python TensorFlow AWS) London / WFH to £80k
Are you a Machine Learning technologist with strong scientific Python and AWS skills?
You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a range of other clients to prevent and detect fraudulent call activities.
As a Machine Learning Engineer within the model development team, you'll develop cutting-edge models for cloud based authentication and fraud systems, focussing on researching, experimenting with and implementing advanced machine learning models, continuously iterating to improve the products performance. You'll independently design, carry out and analyse online and offline experiments, employing metrics such as false positives, false negatives, precision, recall, F1 scores, ROC curves and confusion matrices to assess and improve model performance.
There's an open, collaborative environment where learning and personal development are key and there's a strong pipeline of Greenfield projects as well as flexible working and a host of benefits; the company has been awarded Platinum standard by Investors in People and is multi-award winning with various DEI initiatives and excellent personal growth and career development opportunities.
WFH Policy:
You can work from home most of the time, joining colleagues in the London 1-2 days a week; when you are in the office you can enjoy a friendly team environment that encourages knowledge sharing and close collaboration.
About you:
What's in it for you:
As a Machine Learning Engineer you will earn a competitive package:
Apply now to find out more about this Machine Learning Engineer (Python TensorFlow AWS) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
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